Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

[Text] / V. B. Kashkin [et al.] // Earth Observ. Remote Sens. - 1999. - Vol. 15, Is. 5. - P805-809. - Cited References: 8 . - 5. - ISSN 1024-5251РУБ Geography, Physical + Geosciences, Multidisciplinary + Remote Sensing + Imaging Science & Photographic Technology

Аннотация: Data from the NOAA-12 HIRS radiometer are used to construct maps of the isolines and the surface of total ozone. An optimal Krige procedure is used for conversion from the irregular network to a regular one. Satellite and ground data for Krasnoyarsk are compared and the discrepancy in the estimates amounts to +24 D.u. with correlation coefficient 0.81. The effect of large-scale forest fires on the ground data is noted. A minimum ozone content of 287 D.u. for the satellite data was observed on 14 August in southwest Siberia.

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Держатели документа:
Krasnoyarsk State Univ, Russian Acad Sci, Inst Forest, Siberian Branch, Krasnoyarsk, Russia

Доп.точки доступа:
Kashkin, V.B.; Romas'Ko, V.Y.; Sal'Nikova, O.E.; Sukhinin, A.I.

[Text] / O. V. Menyailo, B. A. Hungate // J. Geophys. Res.-Biogeosci. - 2006. - Vol. 111, Is. G2. - Ст. G02022, DOI 10.1029/2005JG000058. - Cited References: 36 . - 8. - ISSN 0148-0227РУБ Environmental Sciences + Geosciences, Multidisciplinary

Аннотация: Nitrous oxide (N2O) is an important greenhouse gas and participates in the destruction of stratospheric ozone. Soil bacteria produce N2O through denitrification and nitrification, but these processes differ radically in substrate requirements and responses to the environment. Understanding the controls over N2O efflux from soils, and how N2O emissions may change with climate warming and altered precipitation, require quantifying the relative contributions from these groups of soil bacteria to the total N2O flux. Here we used ammonium nitrate (NH4NO3, including substrates for both processes) in which the nitrate has been enriched in the stable isotope of oxygen, O-18, to partition microbial sources of N2O, arguing that a molecule of N2O carrying the O-18 labeled will have been produced by denitrification. We compared the influences of six common tree species on the relative contributions of nitrification and denitrification to N2O flux from soils, using soils from the Siberian afforestation experiment. We also altered soil water content, to test whether denitrification becomes a dominant source of N2O when soil water content increases. Tree species altered the proportion of nitrifier and denitrifier-derived N2O. Wetter soils produced more N2O from denitrification, though the magnitude of this effect varied among tree species. This indicates that the roles of denitrification and nitrification vary with tree species, and, that tree species influence soil responses to increased water content.

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Держатели документа:
Russian Acad Sci, SB RAS, Inst Forest, Krasnoyarsk, Russia
No Arizona Univ, Dept Biol Sci, Flagstaff, AZ 86011 USA
No Arizona Univ, Merriam Powell Ctr Environm Res, Flagstaff, AZ 86011 USA

Доп.точки доступа:
Menyailo, O.V.; Hungate, B.A.

/ V. I. Kharuk [et al.] // Remote Sensing of Environment. - 1994. - Vol. 47, Is. 1. - P98-105 . - ISSN 0034-4257
Аннотация: Induction kinetics of chlorophyll fluorescence (the Kautsky effect) and delayed fluorescence (DF) of some cold climate species were studied in both laboratory and in situ experiments to assess their vlaue as indicators of plant health. Experiments included studies of natural variability of fluorescence in connection with the seasonal leaf maturation process, as well as the influence of environmental stress factors, such as ozone. It was found that parameters of induction curves (normalized variable fluorescence, time of its half decrease) could be used as indicators of plant health. No significant differences have been elicited between the information content of the Kautsky effect and induction curves of DF as tools for remote sensing. It is suggested that measurements of the single decay curves of DF are preferable for remote estimation of photosynthetic capacity. В© 1994.

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Держатели документа:
Sukachev Forest Institute, Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Krasnoyarsk State Agricultural University, Krasnoyarsk, Russian Federation
University of New Hampshire, Institute for the Study of Earth, Oceans, and Space, Durham, United States
NASA / Goddard Space Flight Center, Laboratory for Terrestrial Physics, Biospheric Sciences Branch, United States

Доп.точки доступа:
Kharuk, V.I.; Morgun, V.N.; Rock, B.N.; Williams, D.L.

/ V. N. Ustinova [et al.] // IOP Conference Series: Earth and Environmental Science : Institute of Physics Publishing, 2018. - Vol. 211: International Conference and Early Career Scientists School on Environmental Observations, Modeling and Information Systems, ENVIROMIS 2018 (5 July 2018 through 11 July 2018, ) Conference code: 143586, Is. 1, DOI 10.1088/1755-1315/211/1/012025 . -
Аннотация: A probabilistic-statistical parameterization of time series characterizing geological and climatic processes allows determining some regularities by an autocorrelation analysis of signals which differ in nature. The use of the autocorrelation method for analyzing data related to solar and tectonic activity and characterizing the level of stratospheric ozone (total ozone content), hydrothermal regimes (De Martonne aridity index), and wood structure (maximum density of annual rings) allows us to find regularities in time series of various natural processes. Data on the maximum density of Siberian larch trees growing in the Altai Mountains made it possible to calculate the past changes in total ozone content and the aridity index in the Altai Mountains from 1900 to 2014 based on some similarities in the series and a separation of a dendrochronological signal into its main components. © Published under licence by IOP Publishing Ltd.

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Держатели документа:
TUSUR, RETEM Russia, 40, Lenin Avenue, Tomsk, 634050, Russian Federation
Institute of Monitoring of Climatic and Ecological Systems SB RAS, 10/3, Akademicheskii Ave., Tomsk, 634055, Russian Federation
School of Engineering Entrepreneurship, National Research Tomsk Polytechnic University, 30, Lenina Avenue, Tomsk, 634050, Russian Federation
Sukachev Institute of Forest SB RAS, Akademgorodok No50,.28, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Ustinova, V. N.; Zuev, V. V.; Bondarenko, S. L.; Ustinova, I. G.; Ovchinnikov, D. V.; Kirdjanov, A. V.